• DocumentCode
    1731594
  • Title

    Social network link predict based on AF model

  • Author

    Chang, Cheng ; Yao, Xiying

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    415
  • Lastpage
    418
  • Abstract
    With the development of the Internet, social network has deeply rooted. People could construct more widely contact through social network. At the same time, social network analysis has made in-depth development; it has been widely used in modern sociology, anthropology, economics, and biology area. In social network, everyone has his wish to expand his circle of communication. But their energy of digging the potential friends by themselves is limited, so the link prediction which is one of sub-tasks of social network analysis becomes increasingly important. This article uses the AF model for link prediction to social network, Verify the correctness and validity of the method through the experiment on Enron´s e-mail data collection.
  • Keywords
    Internet; data mining; social networking (online); AF model; Internet; e-mail data collection; link mining; social network analysis; social network link prediction; Finance; AF Model; Link Predict; data mining; social network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6181988
  • Filename
    6181988